Lightweight Verification Schema for Image-Based Palmprint Biometric Systems

Abstract EN

Palmprint biometrics is a promising modality that enables efficient human identification, also in a mobile scenario.

In this paper, a novel approach to feature extraction for palmprint verification is presented.

The features are extracted from hand geometry and palmprint texture and fused.

The use of a fusion of features facilitates obtaining a higher accuracy and, at the same time, provides more robustness to intrusive factors like illumination, variation, or noise.

The major contribution of this paper is the proposition and evaluation of a lightweight verification schema for biometric systems that improves the accuracy without increasing computational complexity which is a necessary requirement in real-life scenarios.